skip to main content
10.1145/2702123.2702268acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
note

Beyond Eco-Feedback: Adding Online Manual and Automated Controls to Promote Workplace Sustainability

Authors Info & Claims
Published:18 April 2015Publication History

ABSTRACT

Whereas eco-feedback has been widely studied in HCI and environmental psychology, online manual control and automated control have been rarely studied with a focus on their long-term quantitative impact and usability. To address this, an intervention was tested with eighty office workers for twenty-seven weeks. Through the long-term field test, it was found that the addition of online controls in the feedback intervention led to more energy savings than feedback only and worked better for light and phone usage than computer and monitor usage. The addition of automated control led to the greatest savings but was less effective for efficient users than inefficient ones.

References

  1. EIA, U. (2011). Annual energy review. Energy Information Administration, US Dept of Energy: Washington, DC, online at www.eia.doe.gov/emeu/aer.Google ScholarGoogle Scholar
  2. 1E PC Energy Report (2009). PC Energy Report 2009, USA, United Kingdom, GermanyGoogle ScholarGoogle Scholar
  3. Energy Star, (2009). Fast Facts on Energy Use.Google ScholarGoogle Scholar
  4. NBI (2012) "Managing Your Office Equipment Plug Load"Google ScholarGoogle Scholar
  5. Froehlich, J. et al. (2010). The design of eco-feedback technology. CHI '10 (pp. 99--2008). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Brynjarsdottir et al. (2012). Sustainably unpersuaded: how persuasion narrows our vision of sustainability. CHI '12 (pp. 947--956). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kappel, K., & Grechenig, T. (2009, April). Show-me: water consumption at a glance to promote water conservation in the shower. In Proceedings of the 4th international conference on persuasive technology (p. 26). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Metzger, I et al. (2012). Plug-Load Control and Behavioral Change Research in GSA Office Buildings. NREL/TP-7A40--55780. Golden, CO: National Renewable Energy Laboratory.Google ScholarGoogle Scholar
  9. Mercier, C., & Moorefield, L. (2011). Commercial office plug load savings and assessment: Final report. Produced by ECOVA and Supported Through the California Energy Commission's Public Interest Energy Research Program.Google ScholarGoogle Scholar
  10. Lasternas, B. et al. (2014). Behavior Oriented Metrics for Plug Load Energy Savings in Office Environment. In Proceedings of the 2014 ACEEE Summer Study on Energy Efficiency in Buildings.Google ScholarGoogle Scholar
  11. 1Yun R. et al. (2014) The Design and Evaluation of Intelligent Energy Dashboard for Sustainability in the Workplace. In Proceedings, HCI International 2014, LNCS: Springer-Verlag.Google ScholarGoogle ScholarCross RefCross Ref
  12. Fogg, B. J. (2009, April). A behavior model for persuasive design. InProceedings of the 4th international Conference on Persuasive Technology (p. 40). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Foster, D., Lawson, S., Wardman, J., Blythe, M., & Linehan, C. (2012). "Watts in it for me?": design implications for implementing effective energy interventions in organisations. CHI '12 (pp. 2357--2366). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Erickson, T. et al. (2013, April). The dubuque electricity portal: evaluation of a city-scale residential electricity consumption feedback system. CHI '13 (pp. 1203--1212). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Froehlich, J et al. (2009, April). UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. CHI '09 (pp. 1043--1052). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Yun R. et al. (2013). Toward the Design of a Dashboard to Promote Environmentally Sustainable Behavior among Office Workers. In Persuasive Technology (pp. 246--252). Springer Berlin Heidelberg. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Yun, R. et al. (2013). Sustainability in the Workplace: Nine Intervention Techniques for Behavior Change. In Persuasive Technology (pp. 253--265). Springer Berlin Heidelberg. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Ehrhardt-Martinez, K et al. J.A.S.: Advanced Metering Initiatives and Residential Feedback Programs: a meta-review for household electricity-saving opportunities. Washington, D.C. (2010)Google ScholarGoogle Scholar
  19. Carrico, A. R., & Riemer, M. (2011). Motivating energy conservation in the workplace: An evaluation of the use of group-level feedback and peer education. Journal of environmental psychology, 31(1), 1--13.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Beyond Eco-Feedback: Adding Online Manual and Automated Controls to Promote Workplace Sustainability

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • note

      Acceptance Rates

      CHI '15 Paper Acceptance Rate486of2,120submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader